| name | kiss-arch-intake |
| description | Captures architecture inputs — quality attributes ranking, hard constraints, team context, operational envelope, integration surface, deployment preferences — into a single intake artefact the architect works from. Use when starting system design, capturing requirements for an architecture, or before producing ADRs and C4 diagrams. |
| compatibility | Requires kiss project structure with .kiss/ directory |
| metadata | {"author":"github-kiss","source":"agent-skills/kiss-arch-intake/kiss-arch-intake.md"} |
| user-invocable | true |
| disable-model-invocation | false |
User Input
$ARGUMENTS
Audience and tone (interactive mode)
When KISS_AGENT_MODE=interactive (the default), assume the user
has limited technical background and limited domain knowledge
— they may know basics but lack deep expertise in this skill's
area. Run this skill as a guided questionnaire:
- One question at a time. No walls of questions.
- Yes / no first. Phrase so
yes, no, not sure, or skip
is a valid answer.
- Translate jargon, don't strip it. Use the technical term but
always pair it with a plain-English gloss the first time it
appears.
- Choices, not blank fields. When yes/no isn't enough, offer
2-4 lettered options (A/B/C/D) with one-line plain-language
descriptions of the trade-off. Always include "Not sure — pick
a sensible default".
- Always recommend. State the option you would pick and why in
one sentence so the user can reply "yes" / "ok" to accept. Pull
defaults from upstream artefacts (spec, architecture, ADRs,
standards) before asking blank.
- Show, don't ask. When upstream artefacts already imply an
answer, propose it as a pre-filled finding and ask for a
yes / no confirmation rather than asking the user to fill in a
blank.
not sure / skip triggers a sensible default, marked
"(default applied — confirm later)" in the artefact, and a debt
entry in this skill's debt file.
When KISS_AGENT_MODE=auto (or --auto), skip the questionnaire
entirely: apply sensible defaults from upstream artefacts and log
decisions to the parent agent's decision log.
Inputs
.kiss/context.yml{context.paths.specs}/**/spec.md — functional + NFR source
Outputs
{context.paths.docs}/architecture/intake.md{context.paths.docs}/architecture/intake.extract
Context Update
Does not mutate .kiss/context.yml.
Handoffs
kiss-tech-research reads intake to scope candidate evaluations.kiss-adr reads constraints to frame the context of each ADR.kiss-c4-diagrams reads the integration surface for the context
diagram.
AI authoring scope
Does: ask the user structured questions, record answers,
propose sensible defaults with "(AI proposal — confirm)".
Does not: interview stakeholders, assume anything about budget
without the user stating it, commit the team to a stack.
Usage
<SKILL_DIR> = the integration's skills root (e.g. .claude/skills/
for Claude Code, .agents/skills/ for Antigravity / Codex,
.cursor/skills/ for Cursor, .windsurf/workflows/ for Windsurf).
Scripts live at <SKILL_DIR>/<skill-name>/scripts/….
bash <SKILL_DIR>/kiss-arch-intake/scripts/bash/draft-intake.sh --auto
bash <SKILL_DIR>/kiss-arch-intake/scripts/bash/draft-intake.sh
Answer keys
| Key | Default |
|---|
AI_QA_TOP5 | empty (→ debt) |
AI_HARD_CONSTRAINTS | empty |
AI_TEAM_SIZE_BAND | 6-15 |
AI_PEAK_QPS | empty |
AI_SLA_TARGET | 99.9% |
AI_DEPLOY_PREF | no-preference |
